Discover how probability distribution methods can help predict stock market returns and improve investment decisions. Learn to assess risk and potential gains.
Learn how to calculate the maximum projectile range using Python functions. This tutorial demonstrates step-by-step coding techniques to simulate projectile motion, optimize range, and understand ...
A research team has developed a novel direct sampling method based on deep generative models. Their method enables efficient sampling of the Boltzmann distribution across a continuous temperature ...
Abstract: This paper extends Hadamard-coded supervised discrete hashing on real domain (termed as ℝ-HCSDH) using a real-valued kernel trans-formation (ℝKT) to one on complex/quaternion domain (termed ...
Abstract: This paper investigates the radio resource management (RRM) design for multiuser rate-splitting multiple access (RSMA), accounting for various characteristics of practical wireless systems, ...
This is a PyTorch/GPU implementation of the paper Bridging Continuous and Discrete Tokens for Autoregressive Visual Generation: @article{wang2025bridging, title={Bridging Continuous and Discrete ...
DPM-Solver-v3 is a training-free ODE solver dedicated to fast sampling of diffusion models, equipped with precomputed empirical model statistics (EMS) to boost the convergence speed up to 40%.
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